Seems to be SOTA for its size. Hopefully independent benchmarks will come soon.
O joyous day!
Welcome deepseek flash flash!
Kinda was expecting to see Gemma 4 26B in benchmark comparisons :(
remember to let llama.cpp catch up to anything new in this model. Save your judgment until about 2 weeks of use.
https://news.ycombinator.com/item?id=48403639
my prediction was way too far out. 4.6 at home! Woo.
I don't know much about the production of these models. How hard would it be to 'fork' something like this and have it not be full of CCP indoctrination?
This with ddg mcp to fill in world knowledge. Are local models the future when computer architectures catch up?
Why weren't the points merged again from the "dupe" thread that had 289 points?
https://news.ycombinator.com/item?id=49299684
What a weird mechanism. If someone is judging a thread/topic/event impact by the number of points it got, then doing this unfairly degrades that thread.
It should have deduped by user and combined the 168(at the time of writing this comment) + 289 points. Just add the twitter link from the previous thread as an additional link in the description, like you normally do, move all the points over, and remove the old thread.
Can anyone confirm whether this new Qwen release is any more concise when thinking? Overthinking was the biggest (only?) downside of the Qwen models.
I'm hoping to see folks distill this with current generation Opus / Fable reasoning traces. I have had my best results locally so far from Qwopus (Qwen 3.6-27B w/ Opus 4.6 reasoning distilled). This looks GREAT and I am definitely setting this up later today.
NICE, i've been waiting for this drop, thanks for posting this
This is the homelab model hands down
My Strix Halo is about to go overdrive!
I found this kind of amusing while running it (using Pi as the harness). Don't know if this is evidence of intense fine tuning from Claude but it smells like it...
" The user wants me to explore the repository at XXXX and report back. Let me start by understanding the project structure, reading the CLAUDE.md file, and getting a general overview of what this repository is.
Let me start by reading the main project documentation and exploring the directory structure.
I'll take a look around this repo. Let me start by getting a lay of the land.
read resource CLAUDE.md (ctrl+o to expand)
ENOENT: no such file or directory, access 'XXXX/CLAUDE.md'"
need another fable uncensored merge with 3.8, really curious what it can deliver
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Monstrous benchmarks! Hoping it is not benchmaxxed.